● ● Institution Contacts Institution Contacts Prof. Minghua Zhang, ITPA Prof. Minghua Zhang, ITPA Stony Brook University Stony Brook University [email protected] [email protected] Dr. Andrew Vogelmann, ASD Dr. Andrew Vogelmann, ASD Brookhaven National Brookhaven National Laboratory Laboratory [email protected] [email protected] FURTHER INFORMATION FURTHER INFORMATION General Information: General Information: //wiki.bnl.gov/bg_climate_science //wiki.bnl.gov/bg_climate_science POINTS OF CONTACT POINTS OF CONTACT ● ● Research Research Investigators listed at right, and Investigators listed at right, and under “Investigator Contacts” on under “Investigator Contacts” on the Climate Science Wiki (above). the Climate Science Wiki (above). ● ● Educational Opportunities Educational Opportunities Contact: Gina Gartin, ITPA Contact: Gina Gartin, ITPA Stony Brook University Stony Brook University [email protected] [email protected] New York Blue New York Blue Climate Science Climate Science R esearch A reas (BN L personnel in BLUE ,SBU in RED ) A ER O SO L A N D C LO U D M IC R O PH Y SIC A L PR O C ESSES,TR A N SPO R T & C LIM A TE ● Aerosol microphysics modeling ● Aerosol-cloud interactions ● Aerosol & Chemical Transport H uan G uo,E rnie Lew is,Yangang Liu,PeterD aum , RobertM cG raw , N icole R iem er, Stephen Schw artz, A ndrew Vogelm ann C LO U D PR O C ESS M O D ELIN G ● Cloud processes for weather ● Cloud-climate feedback ● Cloud evolution observations ● Data assimilation B rian C olle, PeterD aum ,H uan G uo,M ichaelJensen, M aratK hairoutdinov,Pavlos K ollias, W uyin Lin, Yangang Liu,Ed Luke,M ark M iller, A ndrew Vogelm ann,M inghua Zhang O C EA N A N D C O A STA L PR O C ESS M O D ELIN G ● Coastal turbulent mixing ● Storm surge B rian C olle,D ong-Ping W ang FO R EC A STIN G W EA TH ER & R EG IO N A L C LIM ATE ● Ensemble modeling ● S torm track variability ● Fundamental hurricane research Edm und C hang,B rian C olle,D ong-Ping W ang C LIM A TE V A R IA T IO N S & C LIM A TE C HANGE ● Hydrological responses & feedbacks ● Simulate regional responses to global warming scenarios ● Energy usage & mitigation strategies VatsalB hatt, B rian C olle,M aratK hairoutdinov, W uyin Lin,A nn R eism an,A ndrew Vogelm ann, D ong-Ping W ang,M inghua Zhang R esearch A reas (BN L personnel in BLUE ,SBU in RED ) A ER O SO L A N D C LO U D M IC R O PH Y SIC A L PR O C ESSES,TR A N SPO R T & C LIM A TE ● Aerosol microphysics modeling ● Aerosol-cloud interactions ● Aerosol & Chemical Transport H uan G uo,E rnie Lew is,Yangang Liu,PeterD aum , RobertM cG raw , N icole R iem er, Stephen Schw artz, A ndrew Vogelm ann C LO U D PR O C ESS M O D ELIN G ● Cloud processes for weather ● Cloud-climate feedback ● Cloud evolution observations ● Data assimilation B rian C olle, PeterD aum ,H uan G uo,M ichaelJensen, M aratK hairoutdinov,Pavlos K ollias, W uyin Lin, Yangang Liu,Ed Luke,M ark M iller, A ndrew Vogelm ann,M inghua Zhang O C EA N A N D C O A STA L PR O C ESS M O D ELIN G ● Coastal turbulent mixing ● Storm surge B rian C olle,D ong-Ping W ang FO R EC A STIN G W EA TH ER & R EG IO N A L C LIM ATE ● Ensemble modeling ● S torm track variability ● Fundamental hurricane research Edm und C hang,B rian C olle,D ong-Ping W ang C LIM A TE V A R IA T IO N S & C LIM A TE C HANGE ● Hydrological responses & feedbacks ● Simulate regional responses to global warming scenarios ● Energy usage & mitigation strategies VatsalB hatt, B rian C olle,M aratK hairoutdinov, W uyin Lin,A nn R eism an,A ndrew Vogelm ann, D ong-Ping W ang,M inghua Zhang R esearch A reas (BN L personnel in BLUE ,SBU in RED ) A ER O SO L A N D C LO U D M IC R O PH Y SIC A L PR O C ESSES,TR A N SPO R T & C LIM A TE ● Aerosol microphysics modeling ● Aerosol-cloud interactions ● Aerosol & Chemical Transport H uan G uo,E rnie Lew is,Yangang Liu,PeterD aum , RobertM cG raw , N icole R iem er, Stephen Schw artz, A ndrew Vogelm ann C LO U D PR O C ESS M O D ELIN G ● Cloud processes for weather ● Cloud-climate feedback ● Cloud evolution observations ● Data assimilation B rian C olle, PeterD aum ,H uan G uo,M ichaelJensen, M aratK hairoutdinov,Pavlos K ollias, W uyin Lin, Yangang Liu,Ed Luke,M ark M iller, A ndrew Vogelm ann,M inghua Zhang O C EA N A N D C O A STA L PR O C ESS M O D ELIN G ● Coastal turbulent mixing ● Storm surge B rian C olle,D ong-Ping W ang FO R EC A STIN G W EA TH ER & R EG IO N A L C LIM ATE ● Ensemble modeling ● S torm track variability ● Fundamental hurricane research Edm und C hang,B rian C olle,D ong-Ping W ang C LIM A TE V A R IA T IO N S & C LIM A TE C HANGE ● Hydrological responses & feedbacks ● Simulate regional responses to global warming scenarios ● Energy usage & mitigation strategies VatsalB hatt, B rian C olle,M aratK hairoutdinov, W uyin Lin,A nn R eism an,A ndrew Vogelm ann, D ong-Ping W ang,M inghua Zhang TAKE ONE! TAKE ONE! RESEARCH RESEARCH Since NY Blue became operational at the end of the summer, 2007, Since NY Blue became operational at the end of the summer, 2007, several efforts have begun as models are ported and tested on NY several efforts have begun as models are ported and tested on NY Blue: Blue: ● ● WRF Nature Run. WRF Nature Run. Simulations conducted on NY Blue are Simulations conducted on NY Blue are presented at this conference, see paper by John Michalakes, J. presented at this conference, see paper by John Michalakes, J. Hacker, R. Loft, M. McCracken, A. Snavely, N. Wright, T. Spelce, Hacker, R. Loft, M. McCracken, A. Snavely, N. Wright, T. Spelce, B. Gorda, & R. Walkup on 14 November in the session for “Gordon B. Gorda, & R. Walkup on 14 November in the session for “Gordon Bell Finalists.” Bell Finalists.” ● ● Mesoscale Weather Prediction and Research, Mesoscale Weather Prediction and Research, conducted using conducted using WRF. WRF. Lead: Brian Colle, ITPA/SBU Lead: Brian Colle, ITPA/SBU ([email protected]) ([email protected]) ● ● Interactions of Tropical Aerosols, Convection & Climate, Interactions of Tropical Aerosols, Convection & Climate, examined using WRF and WRF/Chem. Research is conducted by a examined using WRF and WRF/Chem. Research is conducted by a BNL-SBU co-Investigator team. Lead: Andrew Vogelmann, ASD/BNL BNL-SBU co-Investigator team. Lead: Andrew Vogelmann, ASD/BNL ([email protected]) ([email protected]) ● ● Aerosol Indirect Effects in Marine Boundary Layer Clouds, Aerosol Indirect Effects in Marine Boundary Layer Clouds, using large eddy simulations with the Goddard Cumulus Ensemble using large eddy simulations with the Goddard Cumulus Ensemble Model. Lead: Huan Guo and Yangang Liu, ASD/BNL Model. Lead: Huan Guo and Yangang Liu, ASD/BNL ([email protected], ([email protected], [email protected]) [email protected]) ● ● Multi-scale Modeling of Climate Variability and Regional Multi-scale Modeling of Climate Variability and Regional Climate Change under Global Warming, Climate Change under Global Warming, conducted with the CCSM and conducted with the CCSM and its component models for the atmosphere and ocean (CAM and POP). its component models for the atmosphere and ocean (CAM and POP). Lead: Minghua Zhang, ITPA/SBU Lead: Minghua Zhang, ITPA/SBU ([email protected]) ([email protected]) Data Infusion into NY Blue Modeling Data Infusion into NY Blue Modeling The modeling will be guided by new approaches in data analysis that will help develop and improve the simulations. Research areas include: • Ensemble Modeling, • Data Assimilation, and • Radar and Satellite Strategies. The figure (left) summarizes one opportunity, by exploiting underutilized and/or emerging radar and satellite technologies. The resolutions of climate models (bottom axis) have improved the to point where they can run at scales comparable to the DOE-ARM cloud radar observations (middle axis) and EOS satellite data (top), both of which have been building extensive, valuable datasets over the last 15-20 years. With the high- resolution simulations, these datasets are ripe for integrated surface-satellite analysis with the models. SUMMARY SUMMARY New York Blue Climate Science is a New York Blue Climate Science is a climate science virtual institute climate science virtual institute that uses New York Blue to address challenges in understanding that uses New York Blue to address challenges in understanding the atmospheric and oceanic processes that effect weather and the atmospheric and oceanic processes that effect weather and climate. climate. We are one of the six major areas engaged in research using NY We are one of the six major areas engaged in research using NY Blue. Blue. Collaborative efforts are led by scientists from: Collaborative efforts are led by scientists from: ● ● Institute for Terrestrial and Planetary Atmospheres Institute for Terrestrial and Planetary Atmospheres (ITPA) (ITPA) Stony Brook University (SBU) Stony Brook University (SBU) ● ● Atmospheric Sciences Division (ASD) Atmospheric Sciences Division (ASD) Brookhaven National Laboratory (BNL) Brookhaven National Laboratory (BNL) APPROACH APPROACH We seek new approaches in modeling and data integration to We seek new approaches in modeling and data integration to address address climate science challenges through a marriage of complementary climate science challenges through a marriage of complementary strengths strengths at ITPA and ASD: at ITPA and ASD: ● ● The numerical weather prediction and climate modeling at The numerical weather prediction and climate modeling at ITPA/SBU, ITPA/SBU, ● ● Process-oriented studies at ASD/BNL that are based on Process-oriented studies at ASD/BNL that are based on cloud radar, cloud radar, satellite remote sensing, and satellite remote sensing, and in situ in situ aircraft data. aircraft data. NY Blue Climate Science Models NY Blue Climate Science Models ITPA and ASD scientists research atmospheric and oceanic processes (below) that operate at multiple scales, and involve a range of disciplines that benefit from high-performance computing. Above are the typical model domains (left), with the associated model classes (right), and model names (right) that are being ported to NY Blue (many of them community models). Note that, as computer power increases, boundaries between model classes become blurred. For example, WRF is typically used for “regional” simulations, but now its domain can be expanded to be hemispheric for short-duration runs. Model Names & Acronyms ATHAM Active Tracer High-resolution Atmospheric Model CAM Community Atmosphere Mode (NCAR) CAM/MMF CAM/Multi-scale-Modeling Framework CCSM Community Climate System Model (NCAR) GCE Goddard Cumulus Ensemble Model POP The Parallel Ocean Program (NCAR/LANL) SAM System for Atmospheric Modeling WRF Weather Research and Forecasting Model WRF/Chem WRF Chemistry